4D Data Visualization System for Spatio-Temporal Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional data visualization methods struggle to effectively display and interpret large volumes of data, leading to user confusion and difficulty in making timely decisions, as they often require multiple interactions and restrict usability, especially with 4D data which integrates time and location information.
Innovation Solution
A 4D data visualization method and system that integrates raw data by extracting layer, status, and connection information, generating objects within a visualization space, and utilizing pixel-on-demand techniques to reduce network usage, allowing for intuitive data interpretation and decision-making by displaying 4D data with location and time information on a 2D canvas, enabling zoom levels and separate time axes for each object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional data visualization methods are used to display large volumes of data, then data display capability is improved, but user interpretation difficulty increases and decision-making speed decreases
Solution Approach 1:
The patent introduces a fourth dimension (time) to traditional spatial data visualization, creating 4D visualizations that encode temporal information alongside spatial coordinates. This allows users to perceive changes over time directly in the visual space without requiring multiple separate views or interactions, thereby maintaining ease of interpretation while handling large volumes of spatio-temporal data.
Solution Approach 2:
The patent segments complex 4D data into hierarchical levels of detail, allowing users to view data at different granularities. By dividing the data representation into manageable segments that can be explored progressively, the system prevents overwhelming users with excessive information while still providing access to comprehensive datasets when needed.
2Measurement precision
If multiple interactions are required for data inquiry, then data accuracy is improved, but productivity decreases
Solution Approach 1:
The patent pre-processes and pre-organizes 4D data into optimized visualization structures before user interaction. By preparing data in advance with appropriate filtering, aggregation, and spatial indexing, the system enables users to obtain accurate information through minimal interactions, eliminating the need for multiple sequential queries while maintaining data precision.
Solution Approach 2:
The patent introduces intelligent intermediaries (visualization algorithms and processing layers) that automatically interpret and translate complex 4D data into meaningful visual representations. These intermediaries handle the complexity of data analysis behind the scenes, allowing users to interact with simplified visual interfaces rather than raw data, thus achieving both accuracy and speed.
3Loss of information
If 4D data with location and time information is visualized, then information completeness is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple data dimensions (spatial coordinates and temporal information) into a unified 4D visualization framework. By combining location data with time stamps into integrated visual elements, the system preserves complete information about spatio-temporal patterns while avoiding the need for separate complex systems for each data type, thus managing overall system complexity.
4Measurement precision
If network data transmission is increased for 4D visualization, then data quality is improved, but energy consumption increases
Solution Approach 1:
The patent extracts and transmits only the essential 4D data elements required for effective visualization, separating critical spatio-temporal information from redundant data. By transmitting only the extracted key parameters needed for accurate 4D representation, the system maintains high data quality while minimizing network bandwidth consumption and associated energy usage.
Data Source
AI summary
The present invention discloses a method for visualizing 4D data by integrating received data, at a server system. The method may include a step of extracting data for extracting layer information representing a relation between items, status information representing state or event of each of the items, and connection information enabling each of the items to be related to internal/external system from received at least one raw data, a step of generating contents for generating an object from the extracted information as and integrally implementing the generated object in a visualization space, and a step of visualization control for visualizing and controlling the generated contents, wherein each of the object and the visualization space may be integrally implemented to 4D data with location information and time information.